Top Senior Level Data Engineer Jobs in Atlanta, GA

Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.

Data Operations Manager role at Canoe Intelligence focusing on driving subject matter expertise, executing new products, managing delivery of accurate data, defining product roadmap, and continuous improvement in data operations.

Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.

As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.

Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.

Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.

Join Iodine Software as a Senior Site Reliability Engineer specializing in managing and growing data platforms. Collaborate with teams on infrastructure projects and provide database performance consultations. Engineer solutions for expanding infrastructure.

Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.